1. 3 rd Exercise Topic for Case Study: Elasticity Analysis for Electric Vehicle Shares Rashid A. Waraich Course: Agent Based Modelling in Transportation September 23rd, 2014

2. TESF Modules - Vehicle fleet definition Static assignment of user to vehicle, e.g. using an external model especially useful, when starting with todays fleet assignment of EVs/PHEVs randomly or according to a model based on property of agents (e.g. education level/income, etc.), neighborhood effects Dynamic assignment: optimize vehicle type allocated to agent during the simulation, e.g. allow switching between EV/PHEV; => missing – will be implemented in next weeks for use in this exercise

3. Task Part 1: Literature Review Find papers on fleet dynamics (how does fleet change over time, e.g. years) Papers on behaviour of users when deciding for EVs (neighbour hood effects) Focus on Electric vehicles and Plug-in hybrid electric vehicles Any other related papers => summarize the current state of research (for introduction/ background)

4. Task Part 2: Elasticity Analysis Choice between EVs and CVs Vehicle has – Initial investment cost (per km) – Maintainance cost (per km) – Driving cost (per km) – Taxation (+/-): per km => can be used for modelling aspects of all three above (inkl. subsidies for battery cost) Parking cost at work (and other places): per hour – Taxation (+/-): per hour

5. Task Part 2: Elasticity Analysis (con’t) Set realistic values for current trade-offs Analyze different incentives and their impact on system (e.g. EV share, money redistribution, how much extra tax money needed for funding incentives) Berlin Scenario or Sioux Falls scenario or Zürich.